Evaluation of 2015 Vegetation Fire Activity Distribution in Peninsular Malaysia using Integrated Satellite and Land Activity Data
The decline in air quality is a significant global issue, with agricultural practices and biomass burning being a few of the factors contributing to harmful pollutants. In 2015, Malaysia faced severe air quality deterioration due to forest fires and agricultural burning, worsened by El Niño–Southern...
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EDP Sciences
2024-01-01
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| Series: | E3S Web of Conferences |
| Online Access: | https://www.e3s-conferences.org/articles/e3sconf/pdf/2024/129/e3sconf_staclim2024_01003.pdf |
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| author | Teoh Hwai Leng Ooi Maggie Chel Gee Talib Latif Mohd Lin Neng-Huei Mohd Nadzir Mohd Shahrul Badulrudin Mohd Fahmi |
| author_facet | Teoh Hwai Leng Ooi Maggie Chel Gee Talib Latif Mohd Lin Neng-Huei Mohd Nadzir Mohd Shahrul Badulrudin Mohd Fahmi |
| author_sort | Teoh Hwai Leng |
| collection | DOAJ |
| description | The decline in air quality is a significant global issue, with agricultural practices and biomass burning being a few of the factors contributing to harmful pollutants. In 2015, Malaysia faced severe air quality deterioration due to forest fires and agricultural burning, worsened by El Niño–Southern Oscillation (ENSO) conditions. Vegetation fires, particularly forest fires, emit pollutants and cause temperature fluctuations, significantly impacting air quality. Although satellites like NOAA’s GOES16 and NASA’s MODIS are used for fire detection, data coverage and capture frequencies create uncertainties. This study examines local vegetation burning data from the Fire and Rescue Department of Malaysia (BOMBA), MODIS hotspots from the Fire Information for Resource Management System (FIRMS), and MODIS Burned Area Monthly L3 Global 500m (MCD64A1). The analysis focuses on the spatial distribution and trends of vegetation burning in Peninsular Malaysia’s forests and agricultural lands in 2015. It also compares fire detection data from BOMBA and MODIS to identify discrepancies between the local and remote sensing datasets. The research aims to enhance understanding of vegetation fire activities in Peninsular Malaysia, offering insights for more effective fire management and mitigation strategies. |
| format | Article |
| id | doaj-art-0d8cbe77a2e34034a56cc6ebbfc971de |
| institution | Kabale University |
| issn | 2267-1242 |
| language | English |
| publishDate | 2024-01-01 |
| publisher | EDP Sciences |
| record_format | Article |
| series | E3S Web of Conferences |
| spelling | doaj-art-0d8cbe77a2e34034a56cc6ebbfc971de2025-01-16T11:22:27ZengEDP SciencesE3S Web of Conferences2267-12422024-01-015990100310.1051/e3sconf/202459901003e3sconf_staclim2024_01003Evaluation of 2015 Vegetation Fire Activity Distribution in Peninsular Malaysia using Integrated Satellite and Land Activity DataTeoh Hwai Leng0Ooi Maggie Chel Gee1Talib Latif Mohd2Lin Neng-Huei3Mohd Nadzir Mohd Shahrul4Badulrudin Mohd Fahmi5Centre of Tropical Climate Change System, Institute of Climate Change, Universiti Kebangsaan MalaysiaCentre of Tropical Climate Change System, Institute of Climate Change, Universiti Kebangsaan MalaysiaDepartment of Earth Science and Environment, Faculty Science and Technology, Universiti Kebangsaan MalaysiaDepartment of Atmospheric Science, College of Earth Science, National Central UniversityDepartment of Earth Science and Environment, Faculty Science and Technology, Universiti Kebangsaan MalaysiaFire Research Centre, Fire and Rescue Department of Malaysia, Lengkok Teknologi, Kawasan Perindustrian EnstekThe decline in air quality is a significant global issue, with agricultural practices and biomass burning being a few of the factors contributing to harmful pollutants. In 2015, Malaysia faced severe air quality deterioration due to forest fires and agricultural burning, worsened by El Niño–Southern Oscillation (ENSO) conditions. Vegetation fires, particularly forest fires, emit pollutants and cause temperature fluctuations, significantly impacting air quality. Although satellites like NOAA’s GOES16 and NASA’s MODIS are used for fire detection, data coverage and capture frequencies create uncertainties. This study examines local vegetation burning data from the Fire and Rescue Department of Malaysia (BOMBA), MODIS hotspots from the Fire Information for Resource Management System (FIRMS), and MODIS Burned Area Monthly L3 Global 500m (MCD64A1). The analysis focuses on the spatial distribution and trends of vegetation burning in Peninsular Malaysia’s forests and agricultural lands in 2015. It also compares fire detection data from BOMBA and MODIS to identify discrepancies between the local and remote sensing datasets. The research aims to enhance understanding of vegetation fire activities in Peninsular Malaysia, offering insights for more effective fire management and mitigation strategies.https://www.e3s-conferences.org/articles/e3sconf/pdf/2024/129/e3sconf_staclim2024_01003.pdf |
| spellingShingle | Teoh Hwai Leng Ooi Maggie Chel Gee Talib Latif Mohd Lin Neng-Huei Mohd Nadzir Mohd Shahrul Badulrudin Mohd Fahmi Evaluation of 2015 Vegetation Fire Activity Distribution in Peninsular Malaysia using Integrated Satellite and Land Activity Data E3S Web of Conferences |
| title | Evaluation of 2015 Vegetation Fire Activity Distribution in Peninsular Malaysia using Integrated Satellite and Land Activity Data |
| title_full | Evaluation of 2015 Vegetation Fire Activity Distribution in Peninsular Malaysia using Integrated Satellite and Land Activity Data |
| title_fullStr | Evaluation of 2015 Vegetation Fire Activity Distribution in Peninsular Malaysia using Integrated Satellite and Land Activity Data |
| title_full_unstemmed | Evaluation of 2015 Vegetation Fire Activity Distribution in Peninsular Malaysia using Integrated Satellite and Land Activity Data |
| title_short | Evaluation of 2015 Vegetation Fire Activity Distribution in Peninsular Malaysia using Integrated Satellite and Land Activity Data |
| title_sort | evaluation of 2015 vegetation fire activity distribution in peninsular malaysia using integrated satellite and land activity data |
| url | https://www.e3s-conferences.org/articles/e3sconf/pdf/2024/129/e3sconf_staclim2024_01003.pdf |
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